Applied Structural Equation Modelling for Researchers and Practitioners: Using R and Stata for Behavioural Research

Author:   Indranarain Ramlall (University of Mauritius, Mauritius)
Publisher:   Emerald Publishing Limited
ISBN:  

9781786358837


Pages:   152
Publication Date:   16 December 2016
Format:   Hardback
Availability:   In Print   Availability explained
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Applied Structural Equation Modelling for Researchers and Practitioners: Using R and Stata for Behavioural Research


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Author:   Indranarain Ramlall (University of Mauritius, Mauritius)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Group Publishing Limited
Dimensions:   Width: 15.20cm , Height: 1.50cm , Length: 22.90cm
Weight:   0.350kg
ISBN:  

9781786358837


ISBN 10:   1786358832
Pages:   152
Publication Date:   16 December 2016
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Known as causal models with a conspicuous presence in the field of consumer psychology, structural equation model (SEM) allows complex modelling of correlated multivariate data in order to sieve out their interrelationships among observed and latent variables. This graduate textbook introduces the four main types of structural equation models, the path diagram for model specification, model identification, model estimation, model fit evaluation, and practical issues to consider when implementing models. Example code demonstrates applied structural equation modelling using R and STATA. Distributed in North America by Turpin Distribution. -- Annotation (c)2017 (protoview.com)


Known as causal models with a conspicuous presence in the field of consumer psychology, structural equation model (SEM) allows complex modelling of correlated multivariate data in order to sieve out their interrelationships among observed and latent variables. This graduate textbook introduces the four main types of structural equation models, the path diagram for model specification, model identification, model estimation, model fit evaluation, and practical issues to consider when implementing models. Example code demonstrates applied structural equation modelling using R and STATA. Distributed in North America by Turpin Distribution. -- Annotation (c)2017 * (protoview.com) *


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Indranarain Ramlall, University of Mauritius, Mauritius

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